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Lead Java Engineer; Core Java & AWS In-person Charlotte, NC

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Saransh Inc
Part Time position
Listed on 2025-12-02
Job specializations:
  • Software Development
    Java Developer, Cloud Engineer - Software, Software Engineer, Backend Developer
Job Description & How to Apply Below
Position: Lead Java Engineer (Core Java & AWS) - 14+ yrs (In-person Interview is required in Charlotte, NC)

Lead Java Engineer (Core Java & AWS)

Location:

Charlotte, NC (Hybrid - 3 days a week onsite)

Job Type: Contract

Note:

In-Person Interviews Required (preferred locals)

Years of experience required: 14+ years

Required Skills:

Core Java, AWS Lambda, RESTful APIs, Java, Microservices, Spring Boot

Key Responsibilities:
  • Lead backend development using Core Java (14+ years experience required)
  • Architect and implement microservices using Spring Boot, Spring Framework, Spring Data, and Spring Security
  • Design and consume RESTful APIs; familiarity with SOAP/WSDL/XML is a plus
  • Integrate AI/LLM workflows using Spring AI or similar frameworks
  • Work with SQL databases, vector databases (e.g., Pinecone, Milvus, Redis Vector)
  • Apply domain-driven design, CQRS, event sourcing, and reactive streams (e.g., Reactor, Spring Web Flux)
  • Ensure secure development practices using OAuth, JWT, and OpenID Connect
  • Participate in design discussions, mentor team members, and collaborate across cross-functional teams
  • Support on-premises/hybrid deployments and legacy system modernization
  • Implement feature toggles, A/B testing, and canary deployments
Required Skills:
  • Deep understanding of Java ecosystems and backend architecture
  • Hands‑on experience with Spring Cloud and microservices components (e.g., config server, service discovery, circuit breakers, API gateways)
  • Strong grasp of software design patterns (repository, service, factory, strategy)
  • Experience with AI orchestration, prompt chaining, and multi‑agent workflows
  • Familiarity with cloud‑native AI deployments (AWS Lambda, Azure AI, Google Vertex AI)
  • Ability to analyze and explain code‑level decisions and patterns from past projects
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